Optimal Phasing for Parallel Transmission Lines to Minimize AC Interference
Bibliographic record
Abstract
AC interference is a growing concern within the power industry due to the proximity of other utilities (pipelines, railways, etc.) sharing the same right-of-way (ROW) and corresponding safety issues. This paper presents a methodology for determining the optimal phasing of power transmission lines to reduce the interference and improve on safe operation of utilities sharing the same ROW. The induced voltage levels on an adjacent conductor are calculated using various existing methods to compare their accuracy. Several important findings are reported here regarding the AC interference modeling under steady-state condition. The importance of the inherent unbalance in phase currents and the effect of soil resistivity are discussed in detail. The test case in the study is based on a project in BC Hydro to build two 500 k V transmission lines located in the Peace Region area, British Columbia. The results of this study were used in determining the optimal phasing for these transmission lines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".